• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2019, Vol. 40 ›› Issue (4): 9-17.doi: 10.3969/j.issn.1000-7229.2019.04.002

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DG Planning Method for AC/DC Distribution Network Using Genetic-Ant Colony Algorithm

RUI Songhua1, LIU Haixuan2, WANG Hongbo3, YIN Deyang4, MEI Fei5   

  1. 1. State Grid  Jiangsu Electric Power Co. , Ltd. , Nanjing 210029, China;2. China Electric Power Research Institute, Nanjing 210003, China;3. State Grid Anhui Province Power Company Limited Hefei Power Supply Company, Hefei 230022, China;4. School of Electrical Engineering, Southeast University, Nanjing 210096, China;5. College of Energy and Electrical Engineering,Hohai University, Nanjing 210098, China
  • Online:2019-04-01

Abstract: With the widespread research on distributed generation (DG), the planning problem of DG accessing to the AC/DC distribution network has become increasingly prominent. In this paper, the timing characteristics of different types of DGs and loads are fully considered in the problem of DG accessing to the distribution network. The DG operation and maintenance cost, DG investment cost, system network loss cost, fuel cost, pollution compensation cost, and environmental protection subsidy are fully considered as the objective function,  adding constraints of voltage and power at the same time, and then the location and capacity model of DG is established. Considering the advantages and disadvantages of genetic and ant colony algorithms, a genetic-ant colony composite algorithm is proposed to solve the optimization model. Finally, the IEEE 33-node distribution network is taken as an example to verify the rationality of the proposed model and the effectiveness of the algorithm.

Key words: AC/DC distribution network planning, distributed generator, timing characteristics, genetic-ant colony composite algorithm

CLC Number: